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A couple of other really cool depth-map implementations:

1) The Seene app (iOS app store, free), which creates a depth map and a pseudo-3d model of an environment from a "sweep" of images similar to the image acquisition in the article

2) Google Maps Photo Tours feature (available in areas where lots of touristy photos are taken). This does basically the same as the above but using crowdsourced images from the public.

IMO the latter is the most impressive depth-mapping feat I've seen: the source images are amateur photography from the general public, so they are randomly oriented (and without any gyroscope orientation data!), and uncalibrated for things like exposure, white balance, etc. Seems pretty amazing that Google have managed to make depth maps from that image set.



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